251
|
Shokri-Kojori E, Wang GJ, Wiers CE, Demiral SB, Guo M, Kim SW, Lindgren E, Ramirez V, Zehra A, Freeman C, Miller G, Manza P, Srivastava T, De Santi S, Tomasi D, Benveniste H, Volkow ND. β-Amyloid accumulation in the human brain after one night of sleep deprivation. Proc Natl Acad Sci U S A 2018; 115:4483-4488. [PMID: 29632177 PMCID: PMC5924922 DOI: 10.1073/pnas.1721694115] [Citation(s) in RCA: 476] [Impact Index Per Article: 79.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022] Open
Abstract
The effects of acute sleep deprivation on β-amyloid (Aβ) clearance in the human brain have not been documented. Here we used PET and 18F-florbetaben to measure brain Aβ burden (ABB) in 20 healthy controls tested after a night of rested sleep (baseline) and after a night of sleep deprivation. We show that one night of sleep deprivation, relative to baseline, resulted in a significant increase in Aβ burden in the right hippocampus and thalamus. These increases were associated with mood worsening following sleep deprivation, but were not related to the genetic risk (APOE genotype) for Alzheimer's disease. Additionally, baseline ABB in a range of subcortical regions and the precuneus was inversely associated with reported night sleep hours. APOE genotyping was also linked to subcortical ABB, suggesting that different Alzheimer's disease risk factors might independently affect ABB in nearby brain regions. In summary, our findings show adverse effects of one-night sleep deprivation on brain ABB and expand on prior findings of higher Aβ accumulation with chronic less sleep.
Collapse
Affiliation(s)
- Ehsan Shokri-Kojori
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892;
| | - Gene-Jack Wang
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892;
| | - Corinde E Wiers
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Sukru B Demiral
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Min Guo
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Sung Won Kim
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Elsa Lindgren
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Veronica Ramirez
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Amna Zehra
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Clara Freeman
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Gregg Miller
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Peter Manza
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Tansha Srivastava
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | | | - Dardo Tomasi
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892
| | - Helene Benveniste
- Department of Anesthesiology, Yale School of Medicine, New Haven, CT 06510
| | - Nora D Volkow
- Laboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD 20892;
| |
Collapse
|
252
|
Yetton BD, McDevitt EA, Cellini N, Shelton C, Mednick SC. Quantifying sleep architecture dynamics and individual differences using big data and Bayesian networks. PLoS One 2018; 13:e0194604. [PMID: 29641599 PMCID: PMC5894981 DOI: 10.1371/journal.pone.0194604] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2017] [Accepted: 03/06/2018] [Indexed: 01/19/2023] Open
Abstract
The pattern of sleep stages across a night (sleep architecture) is influenced by biological, behavioral, and clinical variables. However, traditional measures of sleep architecture such as stage proportions, fail to capture sleep dynamics. Here we quantify the impact of individual differences on the dynamics of sleep architecture and determine which factors or set of factors best predict the next sleep stage from current stage information. We investigated the influence of age, sex, body mass index, time of day, and sleep time on static (e.g. minutes in stage, sleep efficiency) and dynamic measures of sleep architecture (e.g. transition probabilities and stage duration distributions) using a large dataset of 3202 nights from a non-clinical population. Multi-level regressions show that sex effects duration of all Non-Rapid Eye Movement (NREM) stages, and age has a curvilinear relationship for Wake After Sleep Onset (WASO) and slow wave sleep (SWS) minutes. Bayesian network modeling reveals sleep architecture depends on time of day, total sleep time, age and sex, but not BMI. Older adults, and particularly males, have shorter bouts (more fragmentation) of Stage 2, SWS, and they transition less frequently to these stages. Additionally, we showed that the next sleep stage and its duration can be optimally predicted by the prior 2 stages and age. Our results demonstrate the potential benefit of big data and Bayesian network approaches in quantifying static and dynamic architecture of normal sleep.
Collapse
Affiliation(s)
- Benjamin D. Yetton
- Department of Psychology, University of California, Irvine, Irvine, California, United States of America
| | - Elizabeth A. McDevitt
- Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, United States of America
| | - Nicola Cellini
- Department of Psychology, University of California, Irvine, Irvine, California, United States of America
- Department of General Psychology, University of Padova, Padova, Italy
| | - Christian Shelton
- Department of Computer Science, University of California, Riverside, Riverside, California, United States of America
| | - Sara C. Mednick
- Department of Psychology, University of California, Irvine, Irvine, California, United States of America
| |
Collapse
|
253
|
Arenaza-Urquijo EM, Vemuri P. Resistance vs resilience to Alzheimer disease: Clarifying terminology for preclinical studies. Neurology 2018; 90:695-703. [PMID: 29592885 DOI: 10.1212/wnl.0000000000005303] [Citation(s) in RCA: 217] [Impact Index Per Article: 36.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2017] [Accepted: 01/02/2018] [Indexed: 11/15/2022] Open
Abstract
Preventing or delaying Alzheimer disease (AD) through lifestyle interventions will come from a better understanding of the mechanistic underpinnings of (1) why a significant proportion of elderly remain cognitively normal with AD pathologies (ADP), i.e., amyloid or tau; and (2) why some elderly individuals do not have significant ADP. In the last decades, concepts such as brain reserve, cognitive reserve, and more recently brain maintenance have been proposed along with more general notions such as (neuro)protection and compensation. It is currently unclear how to effectively apply these concepts in the new field of preclinical AD specifically separating the 2 distinct mechanisms of coping with pathology vs avoiding pathology. We propose a simplistic conceptual framework that builds on existing concepts using the nomenclature of resistance in the context of avoiding pathology, i.e., remaining cognitively normal without significant ADP, and resilience in the context of coping with pathology, i.e., remaining cognitively normal despite significant ADP. In the context of preclinical AD studies, we (1) define these concepts and provide recommendations (and common scenarios) for their use; (2) discuss how to employ this terminology in the context of investigating mechanisms and factors; (3) highlight the complementarity and clarity they provide to existing concepts; and (4) discuss different study designs and methodologies. The application of the proposed framework for framing hypotheses, study design, and interpretation of results and mechanisms can provide a consistent framework and nomenclature for researchers to reach consensus on identifying factors that may prevent ADP or delay the onset of cognitive impairment.
Collapse
Affiliation(s)
- Eider M Arenaza-Urquijo
- From INSERM UMR-S U1237 (E.M.A.-U.), Université de Caen-Normandie, Caen, Normandy, France; and Department of Radiology (P.V.), Mayo Clinic, Rochester, MN.
| | - Prashanthi Vemuri
- From INSERM UMR-S U1237 (E.M.A.-U.), Université de Caen-Normandie, Caen, Normandy, France; and Department of Radiology (P.V.), Mayo Clinic, Rochester, MN
| |
Collapse
|
254
|
Physiological changes in neurodegeneration - mechanistic insights and clinical utility. Nat Rev Neurol 2018; 14:259-271. [PMID: 29569624 DOI: 10.1038/nrneurol.2018.23] [Citation(s) in RCA: 64] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
The effects of neurodegenerative syndromes extend beyond cognitive function to involve key physiological processes, including eating and metabolism, autonomic nervous system function, sleep, and motor function. Changes in these physiological processes are present in several conditions, including frontotemporal dementia, amyotrophic lateral sclerosis, Alzheimer disease and the parkinsonian plus conditions. Key neural structures that mediate physiological changes across these conditions include neuroendocrine and hypothalamic pathways, reward pathways, motor systems and the autonomic nervous system. In this Review, we highlight the key changes in physiological processing in neurodegenerative syndromes and the similarities in these changes between different progressive neurodegenerative brain conditions. The changes and similarities between disorders might provide novel insights into the human neural correlates of physiological functioning. Given the evidence that physiological changes can arise early in the neurodegenerative process, these changes could provide biomarkers to aid in the early diagnosis of neurodegenerative diseases and in treatment trials.
Collapse
|
255
|
Sleep-related brain atrophy and disrupted functional connectivity in older adults. Behav Brain Res 2018; 347:292-299. [PMID: 29577961 DOI: 10.1016/j.bbr.2018.03.032] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2017] [Revised: 03/05/2018] [Accepted: 03/20/2018] [Indexed: 11/24/2022]
Abstract
Aging associates with sleep dysfunction as well as brain alterations. However, the association between age-related brain alterations and their subjective sleep changes is less understood. To address this issue, we recorded T1 weighted structural and resting-state functional magnetic resonance imaging from both young (n = 62) and older adults (n = 108). In addition, all participants completed a battery of psychometric tests, including the Pittsburg Sleep Quality Index. We found that the age-related atrophy of cerebral gray matter, hippocampal and thalamic volume were associated with subjective sleep decline, and the atrophy of cerebral gray matter mediated the age effect on sleep. In addition, older adults exhibited decreased functional connectivity within the medial temporal lobe subsystem than their young counterparts. Moreover, there is a significant positive association between sleep and functional connectivity in young but not in older adults. In light of our findings, we suggest a neuropathological model in which age-related brain alterations may partially explain the well-documented declines in sleep with aging.
Collapse
|
256
|
Baker FC, Sattari N, de Zambotti M, Goldstone A, Alaynick WA, Mednick SC. Impact of sex steroids and reproductive stage on sleep-dependent memory consolidation in women. Neurobiol Learn Mem 2018; 160:118-131. [PMID: 29574082 DOI: 10.1016/j.nlm.2018.03.017] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2017] [Revised: 03/12/2018] [Accepted: 03/20/2018] [Indexed: 01/29/2023]
Abstract
Age and sex are two of the three major risk factors for Alzheimer's disease (ApoE-e4 allele is the third), with women having a twofold greater risk for Alzheimer's disease after the age of 75 years. Sex differences have been shown across a wide range of cognitive skills in young and older adults, and evidence supports a role for sex steroids, especially estradiol, in protecting against the development of cognitive decline in women. Sleep may also be a protective factor against age-related cognitive decline, since specific electrophysiological sleep events (e.g. sleep spindle/slow oscillation coupling) are critical for offline memory consolidation. Furthermore, studies in young women have shown fluctuations in sleep events and sleep-dependent memory consolidation during different phases of the menstrual cycle that are associated with the levels of sex steroids. An under-appreciated possibility is that there may be an important interaction between these two protective factors (sex steroids and sleep) that may play a role in daily fluctuations in cognitive processing, in particular memory, across a woman's lifespan. Here, we summarize the current knowledge of sex steroid-dependent influences on sleep and cognition across the lifespan in women, with special emphasis on sleep-dependent memory processing. We further indicate gaps in knowledge that require further experimental examination in order to fully appreciate the complex and changing landscape of sex steroids and cognition. Lastly, we propose a series of testable predictions for how sex steroids impact sleep events and sleep-dependent cognition across the three major reproductive stages in women (reproductive years, menopause transition, and post-menopause).
Collapse
Affiliation(s)
- Fiona C Baker
- Center for Health Sciences, SRI International, Menlo Park, CA 94025, USA; Brain Function Research Group, School of Physiology, University of the Witwatersrand, Johannesburg, South Africa
| | - Negin Sattari
- UC Irvine, Department of Cognitive Sciences, Irvine, CA 92697, USA
| | | | - Aimee Goldstone
- Center for Health Sciences, SRI International, Menlo Park, CA 94025, USA
| | | | - Sara C Mednick
- UC Irvine, Department of Cognitive Sciences, Irvine, CA 92697, USA.
| |
Collapse
|
257
|
Harding A, Robinson S, Crean S, Singhrao SK. Can Better Management of Periodontal Disease Delay the Onset and Progression of Alzheimer's Disease? J Alzheimers Dis 2018; 58:337-348. [PMID: 28453484 DOI: 10.3233/jad-170046] [Citation(s) in RCA: 38] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
A risk factor relationship exists between periodontal disease and Alzheimer's disease (AD) via tooth loss, and improved memory following dental intervention. This links the microbial contribution from indigenous oral periodontal pathogens to the manifestation of chronic conditions, such as AD. Here, we use Porphyromonas gingivalis infection to illustrate its effect on mental health. P. gingivalis infection, in its primary sub-gingival niche, can cause polymicrobial synergy and dysbiosis. Dysbiosis describes the residency of select commensals from the oral cavity following co-aggregation around the dominant keystone pathogen, such as P. gingivalis, to gain greater virulence. The initial process involves P. gingivalis disturbing neutrophil mediated innate immune responses in the healthy gingivae and then downregulating adaptive immune cell differentiation and development to invade, and subsequently, establish new dysbiotic bacterial communities. Immune responses affect the host in general and functionally via dietary adjustments caused by tooth loss. Studies from animals orally infected with P. gingivalis confirm this bacterium can transmigrate to distant organ sites (the brain) and contribute toward peripheral and intracerebral inflammation, and compromise vascular and microvascular integrity. In another study, P. gingivalis infection caused sleep pattern disturbances by altering glial cell light/dark molecular clock activity, and this, in turn, can affect the clearance of danger associated molecular patterns, such as amyloid-β, via the glymphatic system. Since P. gingivalis can transmigrate to the brain and modulate organ-specific inflammatory innate and adaptive immune responses, this paper explores whether better management of indigenous periodontal bacteria could delay/prevent the onset and/or progression of dementia.
Collapse
|
258
|
Akers KG, Chérasse Y, Fujita Y, Srinivasan S, Sakurai T, Sakaguchi M. Concise Review: Regulatory Influence of Sleep and Epigenetics on Adult Hippocampal Neurogenesis and Cognitive and Emotional Function. Stem Cells 2018; 36:969-976. [DOI: 10.1002/stem.2815] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2017] [Revised: 02/02/2018] [Accepted: 02/17/2018] [Indexed: 12/20/2022]
Affiliation(s)
| | - Yoan Chérasse
- International Institute for Integrative Sleep Medicine, University of Tsukuba; Tsukuba Ibaraki Japan
| | - Yuki Fujita
- Department of Molecular Neuroscience, Graduate School of Medicine; Osaka University; Suita Osaka Japan
| | - Sakthivel Srinivasan
- International Institute for Integrative Sleep Medicine, University of Tsukuba; Tsukuba Ibaraki Japan
| | - Takeshi Sakurai
- International Institute for Integrative Sleep Medicine, University of Tsukuba; Tsukuba Ibaraki Japan
| | - Masanori Sakaguchi
- International Institute for Integrative Sleep Medicine, University of Tsukuba; Tsukuba Ibaraki Japan
| |
Collapse
|
259
|
Polsek D, Gildeh N, Cash D, Winsky-Sommerer R, Williams SCR, Turkheimer F, Leschziner GD, Morrell MJ, Rosenzweig I. Obstructive sleep apnoea and Alzheimer's disease: In search of shared pathomechanisms. Neurosci Biobehav Rev 2018; 86:142-149. [PMID: 29223769 PMCID: PMC6562163 DOI: 10.1016/j.neubiorev.2017.12.004] [Citation(s) in RCA: 59] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2017] [Revised: 10/29/2017] [Accepted: 12/04/2017] [Indexed: 12/12/2022]
Abstract
Alzheimer's disease (AD) is a significant public health concern. The incidence continues to rise, and it is set to be over one million in the UK by 2025. The processes involved in the pathogenesis of AD have been shown to overlap with those found in cognitive decline in patients with Obstructive Sleep Apnoea (OSA). Currently, the standard treatment for OSA is Continuous Positive Airway Pressure. Adherence to treatment can, however, be an issue, especially in patients with dementia. Also, not all patients respond adequately, necessitating the use of additional treatments. Based on the body of data, we here suggest that excessive and prolonged neuronal activity might contribute to genesis and acceleration of both AD and OSA in the absence of appropriately structured sleep. Further, we argue that external factors, including systemic inflammation and obesity, are likely to interfere with immunological processes of the brain, and further promote disease progression. If this hypothesis is proven in future studies, it could have far-reaching clinical translational implications, as well as implications for future treatment strategies in OSA.
Collapse
Affiliation(s)
- D Polsek
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Croatian Institute for Brain Research, Medical School, University of Zagreb, Croatia
| | - N Gildeh
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - D Cash
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Department of Neuroimaging, IoPPN, King's College London, UK
| | - R Winsky-Sommerer
- Surrey Sleep Research Centre, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - S C R Williams
- Department of Neuroimaging, IoPPN, King's College London, UK
| | - F Turkheimer
- Department of Neuroimaging, IoPPN, King's College London, UK
| | - G D Leschziner
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK; Department of Neurology, Guy's and St Thomas' Hospital, London, UK
| | - M J Morrell
- Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK and NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, UK
| | - I Rosenzweig
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK.
| |
Collapse
|
260
|
Genetic variation in Aquaporin-4 moderates the relationship between sleep and brain Aβ-amyloid burden. Transl Psychiatry 2018; 8:47. [PMID: 29479071 PMCID: PMC5865132 DOI: 10.1038/s41398-018-0094-x] [Citation(s) in RCA: 89] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2017] [Revised: 11/22/2017] [Accepted: 12/30/2017] [Indexed: 01/08/2023] Open
Abstract
The glymphatic system is postulated to be a mechanism of brain Aβ-amyloid clearance and to be most effective during sleep. Ablation of the astrocytic end-feet expressed water-channel protein, Aquaporin-4, in mice, results in impairment of this clearance mechanism and increased brain Aβ-amyloid deposition, suggesting that Aquaporin-4 plays a pivotal role in glymphatic function. Currently there is a paucity of literature regarding the impact of AQP4 genetic variation on sleep, brain Aβ-amyloid burden and their relationship to each other in humans. To address this a cross-sectional observational study was undertaken in cognitively normal older adults from the Australian Imaging, Biomarkers and Lifestyle (AIBL) study. Genetic variants in AQP4 were investigated with respect to self-reported Pittsburgh Sleep Quality Index sleep parameters, positron emission tomography derived brain Aβ-amyloid burden and whether these genetic variants moderated the sleep-Aβ-amyloid burden relationship. One AQP4 variant, rs72878776, was associated with poorer overall sleep quality, while several SNPs moderated the effect of sleep latency (rs491148, rs9951307, rs7135406, rs3875089, rs151246) and duration (rs72878776, rs491148 and rs2339214) on brain Aβ-amyloid burden. This study suggests that AQP4 genetic variation moderates the relationship between sleep and brain Aβ-amyloid burden, which adds weight to the proposed glymphatic system being a potential Aβ-amyloid clearance mechanism and suggests that AQP4 genetic variation may impair this function. Further, AQP4 genetic variation should be considered when interpreting sleep-Aβ relationships.
Collapse
|
261
|
Boespflug EL, Iliff JJ. The Emerging Relationship Between Interstitial Fluid-Cerebrospinal Fluid Exchange, Amyloid-β, and Sleep. Biol Psychiatry 2018; 83:328-336. [PMID: 29279202 PMCID: PMC5767516 DOI: 10.1016/j.biopsych.2017.11.031] [Citation(s) in RCA: 98] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2017] [Revised: 11/21/2017] [Accepted: 11/22/2017] [Indexed: 11/28/2022]
Abstract
Amyloid-β (Aβ) plaques are a key histopathological hallmark of Alzheimer's disease (AD), and soluble Aβ species are believed to play an important role in the clinical development of this disease. Emerging biomarker data demonstrate that Aβ plaque deposition begins decades before the onset of clinical symptoms, suggesting that understanding the biological determinants of the earliest steps in the development of AD pathology may provide key opportunities for AD treatment and prevention. Although a clinical association between sleep disruption and AD has long been appreciated, emerging clinical studies and insights from the basic neurosciences have shed important new light on how sleep and Aβ homeostasis may be connected in the setting of AD. Aβ, like many interstitial solutes, is cleared in part through the exchange of brain interstitial fluid and cerebrospinal fluid along a brain-wide network of perivascular pathways recently termed the glymphatic system. Glymphatic function is primarily a feature of the sleeping brain, rather than the waking brain, and is slowed in the aging and posttraumatic brain. These changes may underlie the diurnal fluctuations in interstitial and cerebrospinal fluid Aβ levels observed in both the rodent and the human. These and other emerging studies suggest that age-related sleep disruption may be one key factor that renders the aging brain vulnerable to Aβ deposition and the development of AD. If this is true, sleep may represent a key modifiable risk factor or therapeutic target in the preclinical phases of AD.
Collapse
Affiliation(s)
- Erin L Boespflug
- Department of Neurology, Oregon Health & Science University, Portland, Oregon; Advanced Imaging Research Center, Oregon Health & Science University, Portland, Oregon
| | - Jeffrey J Iliff
- Department of Anesthesiology and Perioperative Medicine, Oregon Health & Science University, Portland, Oregon; Knight Cardiovascular Institute, Oregon Health & Science University, Portland, Oregon.
| |
Collapse
|
262
|
Hung CM, Li YC, Chen HJ, Lu K, Liang CL, Liliang PC, Tsai YD, Wang KW. Risk of dementia in patients with primary insomnia: a nationwide population-based case-control study. BMC Psychiatry 2018; 18:38. [PMID: 29415688 PMCID: PMC5804010 DOI: 10.1186/s12888-018-1623-0] [Citation(s) in RCA: 45] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Accepted: 01/29/2018] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND To investigate the association between primary insomnia and dementia using a Taiwanese population-based database. METHODS This case-control study involved a subset of Taiwan's National Health Insurance Research Database of reimbursement claims. We included 51,734 patients who were diagnosed with primary insomnia from 2002 to 2004 as the test group and 258,715 nonprimary insomnia participants aged 20 years or older as the reference group. We excluded patients under 20 and those with depression, post-traumatic stress disorder, and/or sleep disorders caused by organic lesion(s), drugs, or alcohol. We used a Cox proportional hazards model to assess the primary insomnia on the risk of developing dementia after adjusting for sociodemographic characteristics and comorbidities. RESULTS The primary insomnia cohort had a higher prevalence of diabetes, dyslipidemia, hypertension, coronary heart disease, chronic liver disease, and chronic kidney disease at baseline. After adjusting for select comorbidities, primary insomnia remained a significant predisposing factor for developing dementia, and was associated with a 2.14-fold (95% confidence interval, 2.01-2.29) increase in dementia risk. We also found a higher risk of dementia in younger patients. CONCLUSIONS Taiwanese patients with primary insomnia, especially those under 40, had a higher risk of developing dementia than those without primary insomnia.
Collapse
Affiliation(s)
- Chao-Ming Hung
- 0000 0004 0637 1806grid.411447.3Department of General Surgery, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Ying-Chun Li
- 0000 0004 0531 9758grid.412036.2Institute of Health Care Management, National Sun Yat-Sen University, Kaohsiung, Taiwan
| | - Han-Jung Chen
- 0000 0004 0531 9758grid.412036.2Institute of Health Care Management, National Sun Yat-Sen University, Kaohsiung, Taiwan ,Department of Neurosurgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Kang Lu
- 0000 0004 0531 9758grid.412036.2Institute of Health Care Management, National Sun Yat-Sen University, Kaohsiung, Taiwan ,Department of Neurosurgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Cheng-Loong Liang
- Department of Neurosurgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Po-Chou Liliang
- 0000 0004 0637 1806grid.411447.3Department of Neurosurgery, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Yu-Duan Tsai
- Department of Neurosurgery, E-Da Hospital, I-Shou University, Kaohsiung, Taiwan
| | - Kuo-Wei Wang
- Department of Neurosurgery, E-Da Cancer Hospital, I-Shou University, Kaohsiung, Taiwan.
| |
Collapse
|
263
|
Song JZ, Cui SY, Cui XY, Hu X, Ma YN, Ding H, Ye H, Zhang YH. Dysfunction of GABAergic neurons in the parafacial zone mediates sleep disturbances in a streptozotocin-induced rat model of sporadic Alzheimer's disease. Metab Brain Dis 2018; 33:127-137. [PMID: 29080930 DOI: 10.1007/s11011-017-0125-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2017] [Accepted: 10/09/2017] [Indexed: 01/17/2023]
Abstract
Sleep disturbances are prevalent among patients with Alzheimer's disease (AD) and often precede the onset and progression of dementia. However, there are no reliable animal models for investigating sleep disturbances in patients with sporadic AD (sAD), which accounts for more than 90% of all AD cases. In the present study, we characterize the sleep/wake cycles and explore a potential mechanism underlying sleep disturbance in a rat model of sAD induced via intracerebroventricular (icv) injection of streptozotocin (STZ). STZ-icv rats exhibited progressive decreases in slow wave sleep (SWS) during the light phase and throughout the light/dark cycle beginning from 7 days after STZ-icv. Additionally, increased wakefulness and decreased rapid-eye-movement (REM) and non-REM (NREM) sleep were observed from 14 days after STZ-icv. Beginning on day 7, STZ-icv rats exhibited significant decreases in delta (0.5-4.0 Hz) power accompanied by increased power in the beta (12-30 Hz) and low gamma bands (30-50 Hz) during NREM sleep, resembling deficits in sleep quality observed in patients with AD. Immunohistochemical staining revealed a significant reduction in the ratio of c-Fos-positive GABAergic neurons in the parafacial zone (PZ) beginning from day 7 after STZ-icv. These results suggest that the STZ-icv rat model is useful for evaluating sleep disturbances associated with AD, and implicate the dysregulation of GABAergic neuronal activity in the PZ is associated with sleep disturbance induced by STZ.
Collapse
Affiliation(s)
- Jin-Zhi Song
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Su-Ying Cui
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Xiang-Yu Cui
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Xiao Hu
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Yu-Nu Ma
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Hui Ding
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Hui Ye
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China
| | - Yong-He Zhang
- Department of pharmacology, Peking University, School of Basic Medical Science, 38 Xueyuan Road, Beijing, 100191, China.
| |
Collapse
|
264
|
Yu X, Franks NP, Wisden W. Sleep and Sedative States Induced by Targeting the Histamine and Noradrenergic Systems. Front Neural Circuits 2018; 12:4. [PMID: 29434539 PMCID: PMC5790777 DOI: 10.3389/fncir.2018.00004] [Citation(s) in RCA: 31] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2017] [Accepted: 01/11/2018] [Indexed: 01/07/2023] Open
Abstract
Sedatives target just a handful of receptors and ion channels. But we have no satisfying explanation for how activating these receptors produces sedation. In particular, do sedatives act at restricted brain locations and circuitries or more widely? Two prominent sedative drugs in clinical use are zolpidem, a GABAA receptor positive allosteric modulator, and dexmedetomidine (DEX), a selective α2 adrenergic receptor agonist. By targeting hypothalamic neuromodulatory systems both drugs induce a sleep-like state, but in different ways: zolpidem primarily reduces the latency to NREM sleep, and is a controlled substance taken by many people to help them sleep; DEX produces prominent slow wave activity in the electroencephalogram (EEG) resembling stage 2 NREM sleep, but with complications of hypothermia and lowered blood pressure—it is used for long term sedation in hospital intensive care units—under DEX-induced sedation patients are arousable and responsive, and this drug reduces the risk of delirium. DEX, and another α2 adrenergic agonist xylazine, are also widely used in veterinary clinics to sedate animals. Here we review how these two different classes of sedatives, zolpidem and dexmedetomideine, can selectively interact with some nodal points of the circuitry that promote wakefulness allowing the transition to NREM sleep. Zolpidem enhances GABAergic transmission onto histamine neurons in the hypothalamic tuberomammillary nucleus (TMN) to hasten the transition to NREM sleep, and DEX interacts with neurons in the preoptic hypothalamic area that induce sleep and body cooling. This knowledge may aid the design of more precise acting sedatives, and at the same time, reveal more about the natural sleep-wake circuitry.
Collapse
Affiliation(s)
- Xiao Yu
- Department of Life Sciences, Imperial College London, London, United Kingdom
| | - Nicholas P Franks
- Department of Life Sciences, Imperial College London, London, United Kingdom.,Centre for Neurotechnology, Imperial College London, London, United Kingdom.,UK Dementia Research Institute, Imperial College London, London, United Kingdom
| | - William Wisden
- Department of Life Sciences, Imperial College London, London, United Kingdom.,Centre for Neurotechnology, Imperial College London, London, United Kingdom.,UK Dementia Research Institute, Imperial College London, London, United Kingdom
| |
Collapse
|
265
|
Rosenzweig I, Morrell MJ. Hypotrophy versus Hypertrophy: It's Not Black or White with Gray Matter. Am J Respir Crit Care Med 2017; 195:1416-1418. [PMID: 28569579 DOI: 10.1164/rccm.201701-0109ed] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Affiliation(s)
- Ivana Rosenzweig
- 1 Institute of Psychiatry, Psychology, and Neuroscience King's College London London, United Kingdom.,2 Sleep Disorders Centre Guy's and St. Thomas' NHS Foundation Trust London, United Kingdom
| | - Mary J Morrell
- 3 National Heart and Lung Institute Imperial College London London, United Kingdom and.,4 NIHR Respiratory Disease Biomedical Research Unit Royal Brompton and Harefield NHS Foundation Trust and Imperial College London London, United Kingdom
| |
Collapse
|
266
|
Polsek D, Gildeh N, Cash D, Winsky-Sommerer R, Williams SCR, Turkheimer F, Leschziner GD, Morrell MJ, Rosenzweig I. Obstructive sleep apnoea and Alzheimer's disease: In search of shared pathomechanisms. Neurosci Biobehav Rev 2017. [PMID: 29223769 DOI: 10.1016/j.neubiorev.2017.12.004.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/30/2022]
Abstract
Alzheimer's disease (AD) is a significant public health concern. The incidence continues to rise, and it is set to be over one million in the UK by 2025. The processes involved in the pathogenesis of AD have been shown to overlap with those found in cognitive decline in patients with Obstructive Sleep Apnoea (OSA). Currently, the standard treatment for OSA is Continuous Positive Airway Pressure. Adherence to treatment can, however, be an issue, especially in patients with dementia. Also, not all patients respond adequately, necessitating the use of additional treatments. Based on the body of data, we here suggest that excessive and prolonged neuronal activity might contribute to genesis and acceleration of both AD and OSA in the absence of appropriately structured sleep. Further, we argue that external factors, including systemic inflammation and obesity, are likely to interfere with immunological processes of the brain, and further promote disease progression. If this hypothesis is proven in future studies, it could have far-reaching clinical translational implications, as well as implications for future treatment strategies in OSA.
Collapse
Affiliation(s)
- D Polsek
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Croatian Institute for Brain Research, Medical School, University of Zagreb, Croatia
| | - N Gildeh
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - D Cash
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Department of Neuroimaging, IoPPN, King's College London, UK
| | - R Winsky-Sommerer
- Surrey Sleep Research Centre, Department of Clinical and Experimental Medicine, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK
| | - S C R Williams
- Department of Neuroimaging, IoPPN, King's College London, UK
| | - F Turkheimer
- Department of Neuroimaging, IoPPN, King's College London, UK
| | - G D Leschziner
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK; Department of Neurology, Guy's and St Thomas' Hospital, London, UK
| | - M J Morrell
- Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK and NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust and Imperial College London, UK
| | - I Rosenzweig
- Sleep and Brain Plasticity Centre, CNS, IoPPN, King's College London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK.
| |
Collapse
|
267
|
Characterisation of the Effects of Sleep Deprivation on the Electroencephalogram Using Permutation Lempel–Ziv Complexity, a Non-Linear Analysis Tool. ENTROPY 2017. [DOI: 10.3390/e19120673] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
|
268
|
|
269
|
Gervais NJ, Mong JA, Lacreuse A. Ovarian hormones, sleep and cognition across the adult female lifespan: An integrated perspective. Front Neuroendocrinol 2017; 47:134-153. [PMID: 28803147 PMCID: PMC7597864 DOI: 10.1016/j.yfrne.2017.08.002] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/12/2017] [Revised: 08/07/2017] [Accepted: 08/08/2017] [Indexed: 12/22/2022]
Abstract
Loss of ovarian function in women is associated with sleep disturbances and cognitive decline, which suggest a key role for estrogens and/or progestins in modulating these symptoms. The effects of ovarian hormones on sleep and cognitive processes have been studied in separate research fields that seldom intersect. However, sleep has a considerable impact on cognitive function. Given the tight connections between sleep and cognition, ovarian hormones may influence selective aspects of cognition indirectly, via the modulation of sleep. In support of this hypothesis, a growing body of evidence indicates that the development of sleep disorders following menopause contributes to accelerated cognitive decline and dementia in older women. This paper draws from both the animal and human literature to present an integrated view of the effects of ovarian hormones on sleep and cognition across the adult female lifespan.
Collapse
Affiliation(s)
- Nicole J Gervais
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, 135 Hicks Way, Amherst, MA 01003, United States.
| | - Jessica A Mong
- Department of Pharmacology, University of Maryland School of Medicine, 655 West Baltimore Street, Baltimore, MD 21201, United States
| | - Agnès Lacreuse
- Department of Psychological and Brain Sciences, University of Massachusetts, Amherst, 135 Hicks Way, Amherst, MA 01003, United States
| |
Collapse
|
270
|
Cognitive behavioral therapy (CBT) for preventing Alzheimer's disease. Behav Brain Res 2017; 334:163-177. [PMID: 28743599 DOI: 10.1016/j.bbr.2017.07.024] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2017] [Revised: 07/15/2017] [Accepted: 07/18/2017] [Indexed: 12/13/2022]
Abstract
This review provides the rationale for implementing cognitive behavioral therapy (CBT) for the prevention of Alzheimer's disease (AD). There are known risk factors associated with the development of AD, some of which may be ameliorated with CBT. We posit that treating the risk factors of inactivity, poor diet, hyposmia and anosmia, sleep disorders and lack of regularly engaged challenging cognitive activity will modify the physiology of the brain sufficiently to avoid the accumulation of excess proteins, including amyloid beta, causal events in the development of AD. Further, the successful treatment of the listed risk factors is well within our technology to do so and, even further, it is cost effective. Also, there is considerable scientific literature to support the proposition that, if implemented by well-established practices, CBT will be effective and will be engaged by those of retirement age. That is, we present a biologically informed CBT for the prevention of the development of AD, i.e., an aspect of applied behavioral neuroscience.
Collapse
|
271
|
Abstract
Alzheimer's disease (AD) is the most frequent age-related dementia. It prevalently causes cognitive decline, although it is frequently associated with secondary behavioral disturbances. AD neurodegeneration characteristically produces a remarkable destruction of the sleep-wake cycle, with diurnal napping, nighttime arousals, sleep fragmentation, and REM sleep impairment. It was recently hypothesized that the orexinergic system was involved in AD pathology. Accordingly, recent papers showed the association between orexinergic neurotransmission dysfunction, sleep impairment, and cognitive decline in AD. Orexin is a hypothalamic neurotransmitter which physiologically produces wakefulness and reduces REM sleep and may alter the sleep-wake cycle in AD patients. Furthermore, the orexinergic system seems to interact with CSF AD biomarkers, such as beta-amyloid and tau proteins. Beta-amyloid accumulation is the main hallmark of AD pathology, while tau proteins mark brain neuronal injury due to AD pathology. Investigations so far suggest that orexinergic signaling overexpression alters the sleep-wake cycle and secondarily induces beta-amyloid accumulation and tau-mediated neurodegeneration. Therefore, considering that orexinergic system dysregulation impairs sleep-wake rhythms and may influence AD pathology, it is hypothesized that orexin receptor antagonists are likely potential preventive/therapeutic options in AD patients.
Collapse
Affiliation(s)
- Claudio Liguori
- Sleep Medicine Centre, Neurophysiopathology Unit, Department of Systems Medicine, University of Rome "Tor Vergata", Rome, Italy.
| |
Collapse
|
272
|
Wennberg AMV, Wu MN, Rosenberg PB, Spira AP. Sleep Disturbance, Cognitive Decline, and Dementia: A Review. Semin Neurol 2017; 37:395-406. [PMID: 28837986 DOI: 10.1055/s-0037-1604351] [Citation(s) in RCA: 146] [Impact Index Per Article: 20.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
AbstractApproximately half of older people report sleep disturbances, which are associated with various health conditions, including neurodegenerative disease and dementia. Indeed, 60 to 70% of people with cognitive impairment or dementia have sleep disturbances, which are linked to poorer disease prognosis. Sleep disturbances in people with dementia have long been recognized and studied; however, in the past 10 years, researchers have begun to study disturbed sleep, including sleep fragmentation, abnormal sleep duration, and sleep disorders, as risk factors for dementia. In this review the authors summarize evidence linking sleep disturbance and dementia. They describe how specific aspects of sleep (e.g., quality, duration) and the prevalence of clinical sleep disorders (e.g., sleep-disordered breathing, rapid eye movement sleep behavior disorder) change with age; how sleep parameters and sleep disorders are associated with the risk of dementia; how sleep can be disturbed in dementia; and how disturbed sleep affects dementia prognosis. These findings highlight the potential importance of identifying and treating sleep problems and disorders in middle-aged and older adults as a strategy to prevent cognitive decline and dementia. The authors also review recent evidence linking sleep disturbances to the pathophysiology underlying dementing conditions, and briefly summarize available treatments for sleep disorders in people with dementia.
Collapse
Affiliation(s)
| | - Mark N Wu
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, Maryland.,Department of Neuroscience, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Paul B Rosenberg
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland
| | - Adam P Spira
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, Maryland.,Department of Mental Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland.,Johns Hopkins Center on Aging and Health, Baltimore, Maryland
| |
Collapse
|
273
|
Pase MP, Himali JJ, Grima NA, Beiser AS, Satizabal CL, Aparicio HJ, Thomas RJ, Gottlieb DJ, Auerbach SH, Seshadri S. Sleep architecture and the risk of incident dementia in the community. Neurology 2017; 89:1244-1250. [PMID: 28835407 DOI: 10.1212/wnl.0000000000004373] [Citation(s) in RCA: 125] [Impact Index Per Article: 17.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Accepted: 07/03/2017] [Indexed: 02/01/2023] Open
Abstract
OBJECTIVE Sleep disturbance is common in dementia, although it is unclear whether differences in sleep architecture precede dementia onset. We examined the associations between sleep architecture and the prospective risk of incident dementia in the community-based Framingham Heart Study (FHS). METHODS Our sample comprised a subset of 321 FHS Offspring participants who participated in the Sleep Heart Health Study between 1995 and 1998 and who were aged over 60 years at the time of sleep assessment (mean age 67 ± 5 years, 50% male). Stages of sleep were quantified using home-based polysomnography. Participants were followed for a maximum of 19 years for incident dementia (mean follow-up 12 ± 5 years). RESULTS We observed 32 cases of incident dementia; 24 were consistent with Alzheimer disease dementia. After adjustments for age and sex, lower REM sleep percentage and longer REM sleep latency were both associated with a higher risk of incident dementia. Each percentage reduction in REM sleep was associated with approximately a 9% increase in the risk of incident dementia (hazard ratio 0.91; 95% confidence interval 0.86, 0.97). The magnitude of association between REM sleep percentage and dementia was similar following adjustments for multiple covariates including vascular risk factors, depressive symptoms, and medication use, following exclusions for persons with mild cognitive impairment at baseline and following exclusions for early converters to dementia. Stages of non-REM sleep were not associated with dementia risk. CONCLUSIONS Despite contemporary interest in slow-wave sleep and dementia pathology, our findings implicate REM sleep mechanisms as predictors of clinical dementia.
Collapse
Affiliation(s)
- Matthew P Pase
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA.
| | - Jayandra J Himali
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Natalie A Grima
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Alexa S Beiser
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Claudia L Satizabal
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Hugo J Aparicio
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Robert J Thomas
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Daniel J Gottlieb
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Sandford H Auerbach
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| | - Sudha Seshadri
- From the Department of Neurology (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), Boston University School of Medicine; Framingham Heart Study (M.P.P., J.J.H., A.S.B., C.L.S., H.J.A., S.H.A., S.S.), MA; Centre for Human Psychopharmacology (M.P.P.), Swinburne University of Technology, Australia; Department of Biostatistics (J.J.H., A.S.B.), Boston University School of Public Health; Cognitive Neurology Unit (N.A.G.) and Division of Pulmonary, Critical Care, and Sleep Medicine, Department of Medicine (R.J.T.), Beth Israel Deaconess Medical Center; Harvard Medical School (N.A.G., D.J.G.); Division of Sleep and Circadian Disorders (D.J.G.), Brigham & Women's Hospital, Boston; and Medical Service (D.J.G.), VA Boston Healthcare System, MA
| |
Collapse
|
274
|
D'Cunha NM, McKune AJ, Panagiotakos DB, Georgousopoulou EN, Thomas J, Mellor DD, Naumovski N. Evaluation of dietary and lifestyle changes as modifiers of S100β levels in Alzheimer's disease. Nutr Neurosci 2017; 22:1-18. [PMID: 28696163 DOI: 10.1080/1028415x.2017.1349032] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
There is a significant body of research undertaken in order to elucidate the mechanisms underlying the pathology of Alzheimer's disease (AD), as well as to discover early detection biomarkers and potential therapeutic strategies. One such proposed biomarker is the calcium binding protein S100β, which, depending on its local concentration, is known to exhibit both neurotrophic and neuroinflammatory properties in the central nervous system. At present, relatively little is known regarding the effect of chronic S100β disruption in AD. Dietary intake has been identified as a modifiable risk factor for AD. Preliminary in vitro and animal studies have demonstrated an association between S100β expression and dietary intake which links to AD pathophysiology. This review describes the association of S100β to fatty acids, ketone bodies, insulin, and botanicals as well as the potential impact of physical activity as a lifestyle factor. We also discuss the prospective implications of these findings, including support of the use of a Mediterranean dietary pattern and/or the ketogenic diet as an approach to modify AD risk.
Collapse
Affiliation(s)
- Nathan M D'Cunha
- a University of Canberra Health Research Institute (UCHRI) , University of Canberra , Locked Bag 1, Bruce , Canberra ACT 2601 , Australia.,b Collaborative Research in Bioactives and Biomarkers Group (CRIBB) , University of Canberra , Bruce , Canberra ACT 2601 , Australia
| | - Andrew J McKune
- b Collaborative Research in Bioactives and Biomarkers Group (CRIBB) , University of Canberra , Bruce , Canberra ACT 2601 , Australia.,c University of Canberra, Research Institute for Sport and Exercise , University of Canberra , Bruce , Canberra ACT 2601 , Australia.,d Discipline of Biokinetics, Exercise and Leisure Sciences, School of Health Sciences , University of KwaZulu-Natal , Durban 4041 , South Africa
| | - Demosthenes B Panagiotakos
- e Department of Nutrition-Dietetics, School of Health and Education , Harokopio University , Athens 176 71 , Greece
| | - Ekavi N Georgousopoulou
- b Collaborative Research in Bioactives and Biomarkers Group (CRIBB) , University of Canberra , Bruce , Canberra ACT 2601 , Australia.,e Department of Nutrition-Dietetics, School of Health and Education , Harokopio University , Athens 176 71 , Greece
| | - Jackson Thomas
- a University of Canberra Health Research Institute (UCHRI) , University of Canberra , Locked Bag 1, Bruce , Canberra ACT 2601 , Australia.,b Collaborative Research in Bioactives and Biomarkers Group (CRIBB) , University of Canberra , Bruce , Canberra ACT 2601 , Australia
| | - Duane D Mellor
- a University of Canberra Health Research Institute (UCHRI) , University of Canberra , Locked Bag 1, Bruce , Canberra ACT 2601 , Australia.,b Collaborative Research in Bioactives and Biomarkers Group (CRIBB) , University of Canberra , Bruce , Canberra ACT 2601 , Australia
| | - Nenad Naumovski
- a University of Canberra Health Research Institute (UCHRI) , University of Canberra , Locked Bag 1, Bruce , Canberra ACT 2601 , Australia.,b Collaborative Research in Bioactives and Biomarkers Group (CRIBB) , University of Canberra , Bruce , Canberra ACT 2601 , Australia
| |
Collapse
|
275
|
Fjell AM, Idland AV, Sala-Llonch R, Watne LO, Borza T, Brækhus A, Lona T, Zetterberg H, Blennow K, Wyller TB, Walhovd KB. Neuroinflammation and Tau Interact with Amyloid in Predicting Sleep Problems in Aging Independently of Atrophy. Cereb Cortex 2017; 28:2775-2785. [DOI: 10.1093/cercor/bhx157] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Indexed: 12/27/2022] Open
Affiliation(s)
- Anders Martin Fjell
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| | - Ane-Victoria Idland
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Oslo Delirium Research Group, Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
| | - Roser Sala-Llonch
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
| | - Leiv Otto Watne
- Oslo Delirium Research Group, Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Tom Borza
- Centre for Old Age Psychiatric Research, Innlandet Hospital Trust, Ottestad, Norway
| | - Anne Brækhus
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
- Norwegian National Advisory Unit on Ageing and Health, Vestfold Hospital Trust, Tønsberg, Norway
- Department of Neurology, Oslo University Hospital, Oslo, Norway
| | - Tarjei Lona
- Department of surgery, Diakonhjemmet Hospital, Oslo, Norway
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, Gower Street, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, The Sahlgrenska Academy at University of Gothenburg, Gothenburg, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Torgeir Bruun Wyller
- Oslo Delirium Research Group, Department of Geriatric Medicine, Institute of Clinical Medicine, University of Oslo, Oslo, Norway
- Department of Geriatric Medicine, Oslo University Hospital, Oslo, Norway
| | - Kristine Beate Walhovd
- Department of Psychology, Center for Lifespan Changes in Brain and Cognition, University of Oslo, Oslo, Norway
- Department of Radiology and Nuclear Medicine, Oslo University Hospital, Oslo, Norway
| |
Collapse
|
276
|
Promoting Sleep Oscillations and Their Functional Coupling by Transcranial Stimulation Enhances Memory Consolidation in Mild Cognitive Impairment. J Neurosci 2017. [PMID: 28637840 DOI: 10.1523/jneurosci.0260-17.2017] [Citation(s) in RCA: 147] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022] Open
Abstract
Alzheimer's disease (AD) not only involves loss of memory functions, but also prominent deterioration of sleep physiology, which is already evident at the stage of mild cognitive impairment (MCI). Cortical slow oscillations (SO; 0.5-1 Hz) and thalamocortical spindle activity (12-15 Hz) during sleep, and their temporal coordination, are considered critical for memory formation. We investigated the potential of slow oscillatory transcranial direct current stimulation (so-tDCS), applied during a daytime nap in a sleep-state-dependent manner, to modulate these activity patterns and sleep-related memory consolidation in nine male and seven female human patients with MCI. Stimulation significantly increased overall SO and spindle power, amplified spindle power during SO up-phases, and led to stronger synchronization between SO and spindle power fluctuations in EEG recordings. Moreover, visual declarative memory was improved by so-tDCS compared with sham stimulation and was associated with stronger synchronization. These findings indicate a well-tolerated therapeutic approach for disordered sleep physiology and memory deficits in MCI patients and advance our understanding of offline memory consolidation.SIGNIFICANCE STATEMENT In the light of increasing evidence that sleep disruption is crucially involved in the progression of Alzheimer's disease (AD), sleep appears as a promising treatment target in this pathology, particularly to counteract memory decline. This study demonstrates the potential of a noninvasive brain stimulation method during sleep in patients with mild cognitive impairment (MCI), a precursor of AD, and advances our understanding of its mechanism. We provide first time evidence that slow oscillatory transcranial stimulation amplifies the functional cross-frequency coupling between memory-relevant brain oscillations and improves visual memory consolidation in patients with MCI.
Collapse
|
277
|
Abstract
How does a lack of sleep affect our brains? In contrast to the benefits of sleep, frameworks exploring the impact of sleep loss are relatively lacking. Importantly, the effects of sleep deprivation (SD) do not simply reflect the absence of sleep and the benefits attributed to it; rather, they reflect the consequences of several additional factors, including extended wakefulness. With a focus on neuroimaging studies, we review the consequences of SD on attention and working memory, positive and negative emotion, and hippocampal learning. We explore how this evidence informs our mechanistic understanding of the known changes in cognition and emotion associated with SD, and the insights it provides regarding clinical conditions associated with sleep disruption.
Collapse
|
278
|
Is Obstructive Sleep Apnoea Related to Neuropsychological Function in Healthy Older Adults? A Systematic Review and Meta-Analysis. Neuropsychol Rev 2017; 27:389-402. [PMID: 28484904 DOI: 10.1007/s11065-017-9344-6] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 04/12/2017] [Indexed: 12/20/2022]
Abstract
Previous systematic reviews and meta-analyses have identified cognitive deficits in adults with obstructive sleep apnoea (OSA). However, quantitative analysis of the association between OSA and neuropsychological performance has not been conducted specifically in older adults, for whom there is a greater risk of cognitive decline. We searched Medline, Embase and PsycINFO through August 2016 for studies describing associations between OSA and neuropsychological outcomes in people aged>50 years. Meta-analyses were performed on these studies for overall cognition and within cognitive domains. Subgroup analyses were performed taking into account risk of bias and moderating differences in study design. 13 studies met eligibility criteria for analysis. A small negative association was found between OSA and all neuropsychological outcomes combined, g=0.18(95% CI 0.04-0.32), and in memory and processing speed domains. Small case-control studies from sleep clinic populations observed the greatest associations, while larger cohort studies from community samples illustrated no association. Analysis accounting for publication bias resulted in a null overall association, g=0.02 (95%CI -0.12 to 0.16). Associations between OSA and cognition in later life are highly variable and the findings differ based on the type and setting of study. It appears some older adults may be at risk of cognitive impairments attributable to OSA; however, the risk of bias renders the evidence inconclusive. High quality research is warranted in clinically diagnosed OSA patients as well as those already experiencing neuropsychological impairment and who may be regarded at higher risk of further cognitive decline.
Collapse
|
279
|
Lam AD, Deck G, Goldman A, Eskandar EN, Noebels J, Cole AJ. Silent hippocampal seizures and spikes identified by foramen ovale electrodes in Alzheimer's disease. Nat Med 2017; 23:678-680. [PMID: 28459436 PMCID: PMC5461182 DOI: 10.1038/nm.4330] [Citation(s) in RCA: 247] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/12/2017] [Accepted: 03/17/2017] [Indexed: 01/08/2023]
Abstract
We directly assessed mesial temporal activity in two Alzheimer’s disease (AD) patients without a history or EEG evidence of seizures, using intracranial foramen ovale electrodes. We detected clinically silent hippocampal seizures and epileptiform spikes during sleep, a period when both were most likely to interfere with memory consolidation. These index cases support a model in which early development of occult hippocampal hyperexcitability may contribute to the pathogenesis of AD.
Collapse
Affiliation(s)
- Alice D Lam
- MGH Epilepsy Service, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Gina Deck
- MGH Epilepsy Service, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Alica Goldman
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Emad N Eskandar
- Department of Neurosurgery, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Jeffrey Noebels
- Department of Neurology, Baylor College of Medicine, Houston, Texas, USA
| | - Andrew J Cole
- MGH Epilepsy Service, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| |
Collapse
|
280
|
Mander BA, Winer JR, Walker MP. Sleep and Human Aging. Neuron 2017; 94:19-36. [PMID: 28384471 PMCID: PMC5810920 DOI: 10.1016/j.neuron.2017.02.004] [Citation(s) in RCA: 604] [Impact Index Per Article: 86.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/09/2016] [Revised: 02/02/2017] [Accepted: 02/03/2017] [Indexed: 12/13/2022]
Abstract
Older adults do not sleep as well as younger adults. Why? What alterations in sleep quantity and quality occur as we age, and are there functional consequences? What are the underlying neural mechanisms that explain age-related sleep disruption? This review tackles these questions. First, we describe canonical changes in human sleep quantity and quality in cognitively normal older adults. Second, we explore the underlying neurobiological mechanisms that may account for these human sleep alterations. Third, we consider the functional consequences of age-related sleep disruption, focusing on memory impairment as an exemplar. We conclude with a discussion of a still-debated question: do older adults simply need less sleep, or rather, are they unable to generate the sleep that they still need?
Collapse
Affiliation(s)
- Bryce A Mander
- Sleep and Neuroimaging Laboratory, Department of Psychology, University of California, Berkeley, Berkeley, CA 94720-1650, USA
| | - Joseph R Winer
- Sleep and Neuroimaging Laboratory, Department of Psychology, University of California, Berkeley, Berkeley, CA 94720-1650, USA
| | - Matthew P Walker
- Sleep and Neuroimaging Laboratory, Department of Psychology, University of California, Berkeley, Berkeley, CA 94720-1650, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720-1650, USA.
| |
Collapse
|
281
|
Abulafia C, Duarte-Abritta B, Villarreal MF, Ladrón-de-Guevara MS, García C, Sequeyra G, Sevlever G, Fiorentini L, Bär KJ, Gustafson DR, Vigo DE, Guinjoan SM. Relationship between Cognitive and Sleep-wake Variables in Asymptomatic Offspring of Patients with Late-onset Alzheimer's Disease. Front Aging Neurosci 2017; 9:93. [PMID: 28424614 PMCID: PMC5380732 DOI: 10.3389/fnagi.2017.00093] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2016] [Accepted: 03/20/2017] [Indexed: 11/13/2022] Open
Abstract
Early neuropathological changes characteristic of late-onset Alzheimer's disease (LOAD) involve brain stem and limbic structures that regulate neurovegetative functions, including sleep-wake rhythm. Indeed, sleep pattern is an emerging biomarker and a potential pathophysiological mechanism in LOAD. We hypothesized that cognitively asymptomatic, middle-aged offspring of patients with LOAD (O-LOAD) would display a series of circadian rhythm abnormalities prior to the onset of objective cognitive alterations. We tested 31 children of patients with LOAD (O-LOAD) and 19 healthy individuals without family history of Alzheimer's disease (control subjects, CS) with basic tests of cognitive function, as well as actigraphy measures of sleep-wake rhythm, cardiac autonomic function, and bodily temperature. Unexpectedly, O-LOAD displayed subtle but significant deficits in verbal episodic memory (Rey Auditory Verbal Learning Test delayed recall 10.6 ± 0.4 vs. 8.6 ± 0.6, t = 4.97, df = 49, p < 0.01) and language (Weschler's vocabulary 51.4 ± 1.3 vs. 44.3 ± 1.5, t = 2.49, df = 49, p < 0.001) compared to CS, even though all participants had results within the clinically normal range. O-LOAD showed a phase-delayed rhythm of body temperature (2.56 ± 0.47 h vs. 3.8 ± 0.26 h, t = 2.48, df = 40, p = 0.031). Cognitive performance in O-LOAD was associated with a series of cardiac autonomic sleep-wake variables; specifically indicators of greater sympathetic activity at night were related to poorer cognition. The present results suggest sleep pattern deserves further study as a potential neurobiological signature in LOAD, even in middle-aged, at risk individuals.
Collapse
Affiliation(s)
- Carolina Abulafia
- FLENI Foundation Department of PsychiatryBuenos Aires, Argentina.,Applied Neuroscience Laboratory, Institute for Biomedical Research, School of Medical Sciences, Universidad Católica ArgentinaBuenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires, Argentina
| | | | - Mirta F Villarreal
- FLENI Foundation Department of PsychiatryBuenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires, Argentina
| | - María S Ladrón-de-Guevara
- FLENI Foundation Department of PsychiatryBuenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires, Argentina
| | - Celeste García
- FLENI Foundation Department of PsychiatryBuenos Aires, Argentina
| | | | - Gustavo Sevlever
- FLENI Foundation Department of PsychiatryBuenos Aires, Argentina
| | | | - Karl-Jürgen Bär
- Department of Psychiatry and Psychotherapy, Universitätsklinikum Jena, Friedrich-Schiller-UniversitätJena, Germany
| | - Deborah R Gustafson
- Department of Neurology, State University of New York - Downstate Medical Center, BrooklynNY, USA.,Neuropsychiatric Epidemiology Unit, University of GothenburgGothenburg, Sweden.,Department of Health and Education, University of SkövdeSkövde, Sweden
| | - Daniel E Vigo
- Applied Neuroscience Laboratory, Institute for Biomedical Research, School of Medical Sciences, Universidad Católica ArgentinaBuenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires, Argentina
| | - Salvador M Guinjoan
- FLENI Foundation Department of PsychiatryBuenos Aires, Argentina.,Consejo Nacional de Investigaciones Científicas y TécnicasBuenos Aires, Argentina.,FLENI Teaching Unit, Department of Psychiatry and Mental Health, University of Buenos Aires School of MedicineBuenos Aires, Argentina.,Department of Neurophysiology, University of Buenos Aires School of PsychologyBuenos Aires, Argentina
| |
Collapse
|
282
|
A new hypnic paradigm of neurodegenerative proteinopathies. Sleep Med 2017; 32:282-283. [DOI: 10.1016/j.sleep.2016.12.006] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/16/2016] [Accepted: 12/07/2016] [Indexed: 11/23/2022]
|
283
|
Kent BA, Mistlberger RE. Sleep and hippocampal neurogenesis: Implications for Alzheimer's disease. Front Neuroendocrinol 2017; 45:35-52. [PMID: 28249715 DOI: 10.1016/j.yfrne.2017.02.004] [Citation(s) in RCA: 33] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2016] [Revised: 01/23/2017] [Accepted: 02/24/2017] [Indexed: 01/29/2023]
Abstract
Alzheimer's disease (AD) is the most common cause of dementia and currently there are no effective disease-modifying treatments available. Hallmark symptoms of AD include impaired hippocampus-dependent episodic memory and disrupted sleep and circadian rhythms. The pathways connecting these symptoms are of particular interest because it is well established that sleep and circadian disruption can impair hippocampus-dependent learning and memory. In rodents, these procedures also markedly suppress adult hippocampal neurogenesis, a form of brain plasticity that is believed to play an important role in pattern separation, and thus episodic memory. A causal role for sleep disruptions in AD pathophysiology is suggested by evidence for sleep-dependent glymphatic clearance of metabolic waste products from the brain. This review explores a complementary hypothesis that sleep and circadian disruptions in AD contribute to cognitive decline by activating neuroendocrine and neuroinflammatory signaling pathways that suppress hippocampal neurogenesis. Evidence for this hypothesis underscores the promise of sleep, circadian rhythms, and neurogenesis as therapeutic targets for remediation of memory impairment in AD.
Collapse
Affiliation(s)
- Brianne A Kent
- Division of Neurology and Djavad Mowafaghian Centre for Brain Health, University of British Columbia, Vancouver, Canada
| | | |
Collapse
|
284
|
Khazaie H, Veronese M, Noori K, Emamian F, Zarei M, Ashkan K, Leschziner GD, Eickhoff CR, Eickhoff SB, Morrell MJ, Osorio RS, Spiegelhalder K, Tahmasian M, Rosenzweig I. Functional reorganization in obstructive sleep apnoea and insomnia: A systematic review of the resting-state fMRI. Neurosci Biobehav Rev 2017; 77:219-231. [PMID: 28344075 PMCID: PMC6167921 DOI: 10.1016/j.neubiorev.2017.03.013] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2016] [Revised: 02/24/2017] [Accepted: 03/21/2017] [Indexed: 12/12/2022]
Abstract
Resting state functional MRI studies is a promising non-invasive tool for better understanding of the pathophysiology of sleep disorders. The salience network is involved in hyperarousal and affective symptoms in insomnia. The posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea. Disruption of intrinsic networks have been demonstrated in major depression, which is a common co-morbidity of sleep disorders.
Functional neuroimaging techniques have accelerated progress in the study of sleep disorders. Considering the striking prevalence of these disorders in the general population, however, as well as their strong bidirectional relationship with major neuropsychiatric disorders, including major depressive disorder, their numbers are still surprisingly low. This review examines the contribution of resting state functional MRI to current understanding of two major sleep disorders, insomnia disorder and obstructive sleep apnoea. An attempt is made to learn from parallels of previous resting state functional neuroimaging findings in major depressive disorder. Moreover, shared connectivity biomarkers are suggested for each of the sleep disorders. Taken together, despite some inconsistencies, the synthesis of findings to date highlights the importance of the salience network in hyperarousal and affective symptoms in insomnia. Conversely, dysfunctional connectivity of the posterior default mode network appears to underlie cognitive and depressive symptoms of obstructive sleep apnoea.
Collapse
Affiliation(s)
- Habibolah Khazaie
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Mattia Veronese
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK
| | - Khadijeh Noori
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran
| | - Farnoosh Emamian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Department of Psychiatry, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Mojtaba Zarei
- Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran
| | - Keyoumars Ashkan
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Department of Neurosurgery, King's College Hospital, London, UK
| | - Guy D Leschziner
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| | - Claudia R Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Department of Psychiatry, Psychotherapy, and Psychosomatics, RWTH Aachen University, Aachen, Germany
| | - Simon B Eickhoff
- Institute of Neuroscience and Medicine (INM-1), Research Center Jülich, Jülich, Germany; Institute of Clinical Neuroscience & Medical Psychology, Heinrich Heine University Düsseldorf, Düsseldorf, Germany
| | - Mary J Morrell
- Academic Unit of Sleep and Breathing, National Heart and Lung Institute, Imperial College London, UK and NIHR Respiratory Disease Biomedical Research Unit at the Royal Brompton and Harefield NHS Foundation Trust,Sydney Street, London, SW3 6NP, UK
| | - Ricardo S Osorio
- Center for Brain Health, NYU School of Medicine, New York, NY, United States
| | - Kai Spiegelhalder
- Department of Clinical Psychology and Psychophysiology/Sleep Medicine, Center for Mental Disorders, University of Freiburg Medical Center, Freiburg, Germany
| | - Masoud Tahmasian
- Sleep Disorders Research Center, Kermanshah University of Medical Sciences (KUMS), Kermanshah, Iran; Institute of Medical Sciences and Technology, Shahid Beheshti University, Tehran, Iran; School of Cognitive Sciences, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran.
| | - Ivana Rosenzweig
- Sleep and Brain Plasticity Centre, Department of Neuroimaging, IoPPN, King's College, London, UK; Sleep Disorders Centre, Guy's and St Thomas' Hospital, London, UK
| |
Collapse
|
285
|
Zhang F, Zhong R, Li S, Chang RCC, Le W. The missing link between sleep disorders and age-related dementia: recent evidence and plausible mechanisms. J Neural Transm (Vienna) 2017; 124:559-568. [PMID: 28188439 DOI: 10.1007/s00702-017-1696-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/10/2016] [Accepted: 12/30/2016] [Indexed: 12/14/2022]
Abstract
Sleep disorders are among the most common clinical problems and possess a significant concern for the geriatric population. More importantly, while around 40% of elderly adults have sleep-related complaints, sleep disorders are more frequently associated with co-morbidities including age-related neurodegenerative diseases and mild cognitive impairment. Recently, increasing evidence has indicated that disturbed sleep may not only serve as the consequence of brain atrophy, but also contribute to the pathogenesis of dementia and, therefore, significantly increase dementia risk. Since the current therapeutic interventions lack efficacies to prevent, delay or reverse the pathological progress of dementia, a better understanding of underlying mechanisms by which sleep disorders interact with the pathogenesis of dementia will provide possible targets for the prevention and treatment of dementia. In this review, we briefly describe the physiological roles of sleep in learning/memory, and specifically update the recent research evidence demonstrating the association between sleep disorders and dementia. Plausible mechanisms are further discussed. Moreover, we also evaluate the possibility of sleep therapy as a potential intervention for dementia.
Collapse
Affiliation(s)
- Feng Zhang
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Rujia Zhong
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Song Li
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China.,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China
| | - Raymond Chuen-Chung Chang
- Laboratory of Neurodegenerative Diseases, LKS Faculty of Medicine, School of Biomedical Sciences, The University of Hong Kong, Hong Kong, China
| | - Weidong Le
- Liaoning Provincial Clinical Research Center for Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China. .,Liaoning Provincial Key Laboratory for Research on the Pathogenic Mechanisms of Neurological Diseases, The First Affiliated Hospital, Dalian Medical University, Dalian, 116021, China. .,Collaborative Innovation Center for Brain Science, The First Affiliated Hospital, Dalian Medical University, Dalian, 116011, China.
| |
Collapse
|
286
|
Cerebrospinal fluid levels of orexin-A and histamine, and sleep profile within the Alzheimer process. Neurobiol Aging 2017; 53:59-66. [PMID: 28235679 DOI: 10.1016/j.neurobiolaging.2017.01.011] [Citation(s) in RCA: 65] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2016] [Revised: 01/07/2017] [Accepted: 01/09/2017] [Indexed: 01/04/2023]
Abstract
To better understand how sleep/wake dysregulation affects Alzheimer's disease (AD), we compared the cerebrospinal fluid (CSF) orexin and histamine/tele-methylhistamine (HA/t-MHA) levels of 82 patients (41 probable-AD-high level of evidence, 41 mild cognitive impairment MCI-due-to-AD), 24 other neurologic disorders (OND) and 24 controls. We determined the relationships between these biomarkers, the CSF AD biomarkers concentrations, and the clinical sleep profile. CSF orexin-A but not HA/t-MHA levels were higher in MCI and AD than OND and controls. CSF orexin-A is correlated to CSF amyloid-β42in MCI and AD, independently of age, gender, MMSE, total-tau/phosphorylated-tau, HA or sleep parameters. Nighttime sleep duration was longer in MCI and AD patients than controls. In MCI, nighttime sleep duration negatively correlated with CSF amyloid-β42 and MMSE. To conclude, CSF orexin-A but not HA/t-HMA was upregulated in AD and correlated with amyloid-β42 level. Our data suggested a change in the sleep-wake pattern at an early stage of the disease that needs further investigation to deeply explain the mechanistic interplay between sleep and Alzheimer.
Collapse
|
287
|
Dissel S, Klose M, Donlea J, Cao L, English D, Winsky-Sommerer R, van Swinderen B, Shaw PJ. Enhanced sleep reverses memory deficits and underlying pathology in Drosophila models of Alzheimer's disease. Neurobiol Sleep Circadian Rhythms 2016; 2:15-26. [PMID: 29094110 PMCID: PMC5662006 DOI: 10.1016/j.nbscr.2016.09.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023] Open
Abstract
To test the hypothesis that sleep can reverse cognitive impairment during Alzheimer's disease, we enhanced sleep in flies either co-expressing human amyloid precursor protein and Beta-secretase (APP:BACE), or in flies expressing human tau. The ubiquitous expression of APP:BACE or human tau disrupted sleep. The sleep deficits could be reversed and sleep could be enhanced when flies were administered the GABA-A agonist 4,5,6,7-tetrahydroisoxazolo-[5,4-c]pyridine-3-ol (THIP). Expressing APP:BACE disrupted both Short-term memory (STM) and Long-term memory (LTM) as assessed using Aversive Phototaxic Suppression (APS) and courtship conditioning. Flies expressing APP:BACE also showed reduced levels of the synaptic protein discs large (DLG). Enhancing sleep in memory-impaired APP:BACE flies fully restored both STM and LTM and restored DLG levels. Sleep also restored STM to flies expressing human tau. Using live-brain imaging of individual clock neurons expressing both tau and the cAMP sensor Epac1-camps, we found that tau disrupted cAMP signaling. Importantly, enhancing sleep in flies expressing human tau restored proper cAMP signaling. Thus, we demonstrate that sleep can be used as a therapeutic to reverse deficits that accrue during the expression of toxic peptides associated with Alzheimer's disease. THIP can be used to enhance sleep in two Drosophila models of Alzheimer's disease. Enhanced sleep reverses memory deficits in fly's expressing human APP:BACE and tau. Enhanced sleep restores cAMP levels in clock neurons expressing tau. Sleep can be used as a therapeutic to reverse Alzheimer's disease related deficits.
Collapse
Affiliation(s)
- Stephane Dissel
- Department of Neuroscience, Washington University in St. Louis, 660 S. Euclid Ave, St. Louis, Missouri, U.S.A
| | - Markus Klose
- Department of Neuroscience, Washington University in St. Louis, 660 S. Euclid Ave, St. Louis, Missouri, U.S.A
| | - Jeff Donlea
- Department of Neurobiology, University of California: Los Angeles Los Angeles, California, U.S.A
| | - Lijuan Cao
- Department of Neuroscience, Washington University in St. Louis, 660 S. Euclid Ave, St. Louis, Missouri, U.S.A
| | - Denis English
- Department of Neuroscience, Washington University in St. Louis, 660 S. Euclid Ave, St. Louis, Missouri, U.S.A
| | - Raphaelle Winsky-Sommerer
- Surrey Sleep Research Centre, Faculty of Health and Medical Sciences University of Surrey Guildford Surrey, GU2 7XH, United Kingdom
| | - Bruno van Swinderen
- Queensland Brain Institute, The University of Queensland, Brisbane Qld 4072 Australia
| | - Paul J Shaw
- Department of Neuroscience, Washington University in St. Louis, 660 S. Euclid Ave, St. Louis, Missouri, U.S.A
| |
Collapse
|
288
|
Kandimalla R, Thirumala V, Reddy PH. Is Alzheimer's disease a Type 3 Diabetes? A critical appraisal. Biochim Biophys Acta Mol Basis Dis 2016; 1863:1078-1089. [PMID: 27567931 DOI: 10.1016/j.bbadis.2016.08.018] [Citation(s) in RCA: 366] [Impact Index Per Article: 45.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2016] [Revised: 08/07/2016] [Accepted: 08/17/2016] [Indexed: 12/20/2022]
Abstract
Recently researchers proposed the term 'Type-3-Diabetes' for Alzheimer's disease (ad) because of the shared molecular and cellular features among Type-1-Diabetes, Type-2-Diabetes and insulin resistance associated with memory deficits and cognitive decline in elderly individuals. Recent clinical and basic studies on patients with diabetes and AD revealed previously unreported cellular and pathological among diabetes, insulin resistance and AD. These studies are also strengthened by various basic biological studies that decipher the effects of insulin in the pathology of AD through cellular and molecular mechanisms. For instance, insulin is involved in the activation of glycogen synthase kinase 3β, which in turn causes phosphorylation of tau, which involved in the formation of neurofibrillary tangles. Interestingly, insulin also plays a crucial role in the formation amyloid plaques. In this review, we discussed significant shared mechanisms between AD and diabetes and we also provided therapeutic avenues for diabetes and AD. This article is part of a Special Issue entitled: Oxidative Stress and Mitochondrial Quality in Diabetes/Obesity and Critical Illness Spectrum of Diseases - edited by P. Hemachandra Reddy.
Collapse
Affiliation(s)
- Ramesh Kandimalla
- Garrison Institute on Aging, Texas Tech University Health Sciences Center, 3601 4th Street, MS 9424, Lubbock, TX 79430, United States.
| | - Vani Thirumala
- Garrison Institute on Aging, Texas Tech University Health Sciences Center, 3601 4th Street, MS 9424, Lubbock, TX 79430, United States; BSA Neuroscience, University of Texas at Austin, Austin, TX 78712, USA
| | - P Hemachandra Reddy
- Garrison Institute on Aging, Texas Tech University Health Sciences Center, 3601 4th Street, MS 9424, Lubbock, TX 79430, United States; Departments of Cell Biology & Biochemistry, Neuroscience & Pharmacology and Neurology, Texas Tech University Health Sciences Center, 3601 4th Street, MS 9424, Lubbock, TX 79430, United States
| |
Collapse
|
289
|
Yehuda R, Spiegel D, Southwick S, Davis LL, Neylan TC, Krystal JH. What I have changed my mind about and why. Eur J Psychotraumatol 2016; 7:33768. [PMID: 27837585 PMCID: PMC5106864 DOI: 10.3402/ejpt.v7.33768] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/23/2016] [Revised: 10/09/2016] [Accepted: 10/09/2016] [Indexed: 12/20/2022] Open
Abstract
This paper is based upon a panel discussion "What I Have Changed My Mind About and Why" held on 5 November in New Orleans, Louisiana (USA), as part of the ISTSS 2015 annual meeting "Back to Basics: Integrating Clinical and Scientific Knowledge to Advance the Field of Trauma." The panel was chaired by Professor Dr. Rachel Yehuda of the Icahn School of Medicine at Mount Sinai and the James J. Peters Veterans Affairs, and included five clinician-scholars who exchanged thoughts about what they have changed their minds about over the years: Dr. David Spiegel, Dr. Steven Southwick, Dr. Lori Davis, Dr. Thomas Neylan, and Dr. John Krystal. This paper provides a summary of the salient points made by each expert and the questions and discussion that ensured. Major issues raised included the increasingly clear limitations to the fear-based model that has advanced the field. While treatments for PTSD have improved, there are some aspects of trauma exposure that cannot be entirely repaired. Research providing an evidence base to treatment has led to overly specific treatment guidelines that may obscure more general principles of effective treatment. Treatment might be viewed as a way to increase the plasticity of the brain in the context of processing social cues. A variety of novel and integrative therapies include comprehensive holistic care, exercise, returning to competitive work, logotherapy, mindfulness, enhancing well-being and resilience, and medications with novel mechanisms, such as ketamine.
Collapse
Affiliation(s)
- Rachel Yehuda
- James J. Peters Veterans Affairs, New York, NY, USA.,Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA;
| | - David Spiegel
- Department of Psychiatry and Behavioral Sciences, Stanford University of Medicine, Stanford, CA, USA
| | - Steven Southwick
- Yale University School of Medicine, New Haven, CT, USA.,Clinical Neuroscience Division of the National Center for PTSD, Veterans Administration, West Haven, CT, USA
| | - Lori L Davis
- Department of Psychiatry and Behavioral Neurobiology, University of Alabama Health System, Birmingham, AL, USA
| | - Thomas C Neylan
- Department of Psychiatry, University of California in San Francisco, San Francisco, CA, USA.,San Francisco VA, San Francisco, CA, USA
| | - John H Krystal
- Yale University School of Medicine, New Haven, CT, USA.,Clinical Neuroscience Division of the National Center for PTSD, Veterans Administration, West Haven, CT, USA
| |
Collapse
|